Using Clonal Selection Algorithm to Optimal Placement with Varying Number of Distributed Generation Units and Multi Objective Function

Shahryar Tamandani¹, Majid Hosseina², Mohammad Rostami^2, and Amir Khanjanzadeh¹

¹Department of Engineering, Institute of Higher Education, Allameh Mohaddes Nouri, Nour, Iran

²Department of Engineering, Damghan Branch, Islamic Azad University, Damghan, Iran

Cite this paper:
Shahryar Tamandani, Majid Hosseina, Mohammad Rostami and Amir Khanjanzadeh. Using Clonal Selection Algorithm to Optimal Placement with Varying Number of Distributed Generation Units and Multi Objective Function. World Journal Control Science and Engineering. 2014; 2(1):12-17. doi: 10.12691/wjcse-2-1-3

Abstract

In recent years, Clonal Selection Algorithm have gained a lot of attention from the optimization research community. In this paper, Clonal Selection algorithm is presented to an optimal placement method in order to sizing and sitting of distributed generation in IEEE 33 bus test system. The proposed objective function considers active power losses of the system and the voltage profile in nominal load of system. In order to use of Clonal Selection Algorithm, at first, placement problem is written as an optimization problem which includes the objective function and constraints, and then to achieve the most desirable results, Clonal Selection Algorithm is applied to solve the problem. High performance of the proposed algorithm in mention system is verified by simulations in MATLAB software and in order to illustrate of feasibility of proposed method this optimization in three cases – one DG unit, Two DG units, and Three DG units- will accomplish.

Keywords:
Distributed Generation DG Placement Clonal Selection Algorithm multi objective function optimization

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